Cognitive Chat Tool

Chat Presentation

Chat Presentation

We have developed a chatline environment that allows the recording of the interactions among a group of tenparticipants. We have tried to arrange an environment that mimics that of an unstructured group of stranger participants.Each
participant has at his disposal a console with two textual windows, one
for communicating with the rest of participants in a public way, and
one to communicate to a selected subset in a private way. This should
model loudconversations and whispering. Since people do not see each other, we have included two ”radars” in the interface, inwhich the symbols representing other participants may be placed (1). One radar is public, seen by others, and usercan only move his own symbol. The other is private, and one can move all others symbols while his own is always atthe center. In this way we are trying to offer an equivalent to external non-verbal communications (the public radars)similar to changing place in order to be closer to a given person, and a mnemonic aid (the private radar) for the representationof others’ identities and their perceived social proximity, as seen by each user. In order to corroborate thisinterpretation, messages coming from a given individuals are darker is the individual is close in the public radar, andvanishingly clear if she is far. Finally, each message can have a ”mood”, represented by a a small icon with thumb up,down or neutral (2). This should condense the non-verbal content of a message (as usual in textual chats). Since thesemantic content of a message depends crucially on the cultural context, we are trying to extract informations onlyfrom the timings of messages and the network of connections [12]. For each of the communication channels (privateand public textual chats, public radar displacements, moods) we have extracted the relevant events from the log file,and computed the activity indicators defined below.

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VirtHuLab - Virtual Human Dynamics Laboratory. Department of Science of Education and Psychology, University of Florence. Via di San Salvi, 12, Building 26, 50135 Florence. University of Florence